Swarm RF Reflection Correlation for Uncooperative Drone Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems struggle to effectively detect and identify uncooperative uncrewed vehicles within a swarm of cooperative uncrewed vehicles, posing a security risk in military and non-military environments.
Innovation Solution
A system of cooperative uncrewed vehicles equipped with RF transmitters and receivers that transmit unique ID codes, calculate reflection distances, and create point clouds to identify uncooperative vehicles by correlating reflections with known cooperative vehicles using processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF signals are transmitted by each cooperative uncrewed vehicle to detect other vehicles, then detection capability is improved, but false identification of uncooperative vehicles occurs due to signal reflections off cooperative vehicles
Solution Approach 1:
The patent introduces an intermediary verification mechanism where a third cooperative vehicle acts as a mediator to confirm the identity of detected vehicles. When Vehicle A detects a reflection, it cannot immediately identify the target as cooperative or uncooperative. Instead, it queries a third vehicle (Vehicle C) that can independently verify whether the detected vehicle (Vehicle B) is part of the cooperative swarm by checking its transponder response. This intermediary verification resolves the contradiction by providing additional confirmation without requiring Vehicle A to make unreliable assumptions about reflections.
Solution Approach 2:
The system implements feedback through transponder responses where detected vehicles return identification signals to confirm their cooperative status. When Vehicle A detects a reflection, it receives feedback in the form of a transponder response from the detected vehicle. This feedback loop allows the system to distinguish between cooperative vehicles (which respond with valid ID codes) and uncooperative vehicles (which do not respond or provide invalid responses), thereby improving identification reliability while maintaining detection capability.
2Reliability
If the system queries every detected vehicle to verify cooperation status, then identification reliability is improved, but system response time increases due to multiple communication rounds
Solution Approach 1:
The patent applies partial action by querying only a subset of detected vehicles rather than all of them. When Vehicle A detects multiple vehicles, it strategically selects which vehicles to query based on detection confidence levels, spatial relationships, and swarm knowledge. This partial verification approach maintains sufficient identification reliability by focusing queries on the most ambiguous or critical detections, while avoiding the time penalty of querying every single detected vehicle.
Solution Approach 2:
The system performs preliminary actions by maintaining pre-stored knowledge about cooperative vehicle ID codes and positions before detection occurs. When a detection event happens, the system can quickly compare detected signals against this pre-established information to immediately identify obvious cooperative vehicles without requiring time-consuming transponder queries. This preliminary preparation reduces the number of communication rounds needed and accelerates the overall detection process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately detects and locates uncooperative vehicles within a swarm by correlating point clouds with cooperative vehicles, enhancing security by identifying potential threats.
Implementation Method 1
receive, via at least one of the one or more RF receivers, a plurality of reflections of the first RF signal reflected off one or more others of the plurality of cooperative uncrewed vehicles
Implementation Method 2
calculate, via the processor, for at least some of the plurality of reflections, a distance at which the first RF signal was reflected based on an amount of time between the transmission of the first RF signal and the receiving of each of the plurality of reflections
Data Source
AI summary
Systems, cooperative uncrewed vehicles, and methods for detecting an uncooperative uncrewed vehicle within a plurality of cooperative uncrewed vehicles are provided. For example, a system may include a plurality of cooperative uncrewed vehicles. Each cooperative vehicle is configured to transmit a respective first RF signal containing a unique ID code, receive reflections of the first RF signal reflected off other cooperative vehicles and at least one uncooperative vehicle, calculate a distance at which the first RF signal was reflected, create one or more point clouds corresponding to the reflections of the first RF signal; determine distances to each of the cooperative vehicles, and correlate the point clouds with distances to each of the cooperative vehicles to determine which of the point clouds is associated with which of the cooperative vehicles and therefore which point cloud is associated with the uncooperative vehicle.